Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

遗传算法 - Matlab

This is a collection of Matlab functions that are useful in the development of target tracking algorithms.

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-T…

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

Repo containing a copy of mcbench benchmarks

This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.

最优化方法及其MATLAB实现 源代码

matlab functions for processing electromyography signals

MATLAB implementation of (FAST) ICA decomposition of hd-sEMG signals to motor units

Vectorized multimodal LSTM using Matlab and GPU

Linear Discriminant Analysis based on Matlab

系统辨识课程代码

Adaptive Selective Common Spatial Pattern

Code implementing channel-selection based on utility metric in a least-squares (LS) problem

MATLAB's graycomatrix function extended to support 3D volumes

EMG signal Preprocessing & Feature Extraction & Classification.

Decomposing EMG (Electromyography) data into motor unit spikes using MATLAB

Comparision of Random Forest, Random Subspace and Bagging Algorithms.

MATLAB code that takes an EMG signal as input and realizes a complete EMG decomposition of the signal.

EMG ML model for the provide early warning of PD

MATLAB code to model a motor unit potential (MUP) with an infinite halfspace volume conductor

Implementation of the preliminary steps about the analysis of the EMG signals.

Selecting the best time-domain EMG features using the novel and some classical feature selection algorithms.

用matlab实现最优化导论上的算法

Robust Common Spatial Pattern